Robust image orientation based on relative rotations and tie points

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dc.identifier.uri http://dx.doi.org/10.15488/3761
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/3795
dc.contributor.author Wang, X.
dc.contributor.author Rottensteiner, F.
dc.contributor.author Heipke, C.
dc.date.accessioned 2018-10-08T11:54:15Z
dc.date.available 2018-10-08T11:54:15Z
dc.date.issued 2018
dc.identifier.citation Wang, X.; Rottensteiner, F.; Heipke, C.: Robust image orientation based on relative rotations and tie points. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018), Nr. 2, S. 295-302. DOI: https://doi.org/10.5194/isprs-annals-IV-2-295-2018
dc.description.abstract In this paper we present a novel approach for image orientation by combining relative rotations and tie points. First, we choose an initial image pair with enough correspondences and large triangulation angle, and we then iteratively add clusters of new images. The rotation of these newly added images is estimated from relative rotations by single rotation averaging. In the next step, a linear equation system is set up for each new image to solve the translation parameters with triangulated tie points which can be viewed in that new image, followed by a resection for refinement. Finally, we optimize the cluster of reconstructed images by local bundle adjustment. We show results of our approach on different benchmark datasets. Furthermore, we orient several larger datasets incl. unordered image datasets to demonstrate the robustness and performance of our approach. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018), Nr. 2
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject image orientation eng
dc.subject single rotation averaging eng
dc.subject structure from motion (SfM) eng
dc.subject translation estimation eng
dc.subject.ddc 600 | Technik ger
dc.title Robust image orientation based on relative rotations and tie points eng
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 21949042
dc.relation.doi https://doi.org/10.5194/isprs-annals-IV-2-295-2018
dc.bibliographicCitation.issue 2
dc.bibliographicCitation.volume 4
dc.bibliographicCitation.firstPage 295
dc.bibliographicCitation.lastPage 302
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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